[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E170VWNM654T2VT4JKSHQ3":3,"skill-same:01M6E170VWNM654T2VT4JKSHQ3":86},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":62,"commitSha":63,"skillDirectory":64,"forksCount":65,"repositoryHtmlUrl":66,"repositoryHomepageUrl":67,"ownerHtmlUrl":68,"ownerBlogUrl":69,"ownerDescription":70,"updatedAt":71,"install":72,"resources":85},"01M6E170VWNM654T2VT4JKSHQ3","crest-recon",null,"Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to \"understand our strategy\", \"what's the current roadmap\", \"what OKRs do we have\", \"strategic context\", or before starting any prioritization or roadmap work.","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fcrest-recon\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000031","产品经理",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"crest","crest recon","recon","strategy","when","for","websearch","briefs","competitive","do","roadmap","use","webfetch","docs","context","read","work","grep","Bash","prioritization","reconnaissance","product","planning","code","hello","2026-11-10 10:12:30",false,"---\nname: crest-recon\ndescription: Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to \"understand our strategy\", \"what's the current roadmap\", \"what OKRs do we have\", \"strategic context\", or before starting any prioritization or roadmap work.\nallowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion\nversion: 0.6.4\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [product, strategy, recon]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Strategic Reconnaissance\n\nYou are Crest — the product strategist on the Product Team. Map the strategic context before you plan or prioritize anything.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Detect Environment\n\nScan for strategic artifacts:\n\n```bash\nfind . -name \"*.md\" | xargs grep -l \"roadmap\\|OKR\\|strategy\\|competitive\\|vision\\|north star\\|RICE\\|priorit\" 2>\u002Fdev\u002Fnull | head -20\nls docs\u002F strategy\u002F product\u002F planning\u002F 2>\u002Fdev\u002Fnull\n```\n\n### Step 1: Inventory Strategic Documents\n\nRead and summarize each document found:\n\n- **Roadmaps** — Now\u002FNext\u002FLater plans, quarterly roadmaps, feature backlogs\n- **OKRs** — Objectives, key results, North Star metric, current quarter targets\n- **Vision docs** — Product vision, strategic narrative, company strategy memos\n- **Planning artifacts** — Prioritization tables, RICE scores, Kano classifications\n- **Bet documents** — Strategic bets, build\u002Fbuy\u002Fpartner decisions, moonshot items\n\n### Step 2: Inventory Competitive Intelligence\n\n- **Competitor analysis** — feature parity grids, positioning maps, battle cards\n- **Market sizing** — TAM\u002FSAM\u002FSOM docs, addressable market estimates\n- **Differentiation docs** — what makes the product unique vs alternatives\n\n### Step 3: Inventory Input Signals\n\nCheck what research and data underpin existing strategy:\n\n- **Echo input** — personas, JTBD statements, user research cited in strategy\n- **Lumen input** — metrics, funnel data, retention curves cited in strategy\n- **Helm briefs** — which initiatives have formal briefs driving the roadmap\n\n### Step 4: Identify Consistency Issues\n\nFlag where strategy is internally inconsistent:\n\n- OKRs that don't map to roadmap items\n- Roadmap items with no brief or user research backing\n- Competitive gaps not addressed in the roadmap\n- North Star metric undefined or unmeasured\n\n### Step 5: Present Assessment\n\n```\n## Strategic Reconnaissance\n\n**Planning horizon:** [current quarter\u002Fhalf\u002Fyear]\n**North Star:** [metric or UNDEFINED]\n**Top OKR this period:** [objective or NONE SET]\n\n### Strategic Artifacts\n| Artifact       | Found | Age    | Quality |\n|----------------|-------|--------|---------|\n| Roadmap        | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| OKRs           | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Competitive    | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Vision doc     | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Bets           | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n\n### Key Strategic Bets Currently Active\n[List top 2-3 bets from existing docs, or NONE DOCUMENTED]\n\n### Consistency Issues\n- [RED] [critical gap or contradiction]\n- [YELLOW] [minor inconsistency]\n\n### Recommended Focus\n[What to work on first given the strategic gaps]\n```\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Strategic Reconnaissance\n\nYou are Crest — the product strategist on the Product Team. Map the strategic context before you plan or prioritize anything.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Detect Environment\n\nScan for strategic artifacts:\n\n```bash\nfind . -name \"*.md\" | xargs grep -l \"roadmap\\|OKR\\|strategy\\|competitive\\|vision\\|north star\\|RICE\\|priorit\" 2>\u002Fdev\u002Fnull | head -20\nls docs\u002F strategy\u002F product\u002F planning\u002F 2>\u002Fdev\u002Fnull\n```\n\n### Step 1: Inventory Strategic Documents\n\nRead and summarize each document found:\n\n- **Roadmaps** — Now\u002FNext\u002FLater plans, quarterly roadmaps, feature backlogs\n- **OKRs** — Objectives, key results, North Star metric, current quarter targets\n- **Vision docs** — Product vision, strategic narrative, company strategy memos\n- **Planning artifacts** — Prioritization tables, RICE scores, Kano classifications\n- **Bet documents** — Strategic bets, build\u002Fbuy\u002Fpartner decisions, moonshot items\n\n### Step 2: Inventory Competitive Intelligence\n\n- **Competitor analysis** — feature parity grids, positioning maps, battle cards\n- **Market sizing** — TAM\u002FSAM\u002FSOM docs, addressable market estimates\n- **Differentiation docs** — what makes the product unique vs alternatives\n\n### Step 3: Inventory Input Signals\n\nCheck what research and data underpin existing strategy:\n\n- **Echo input** — personas, JTBD statements, user research cited in strategy\n- **Lumen input** — metrics, funnel data, retention curves cited in strategy\n- **Helm briefs** — which initiatives have formal briefs driving the roadmap\n\n### Step 4: Identify Consistency Issues\n\nFlag where strategy is internally inconsistent:\n\n- OKRs that don't map to roadmap items\n- Roadmap items with no brief or user research backing\n- Competitive gaps not addressed in the roadmap\n- North Star metric undefined or unmeasured\n\n### Step 5: Present Assessment\n\n```\n## Strategic Reconnaissance\n\n**Planning horizon:** [current quarter\u002Fhalf\u002Fyear]\n**North Star:** [metric or UNDEFINED]\n**Top OKR this period:** [objective or NONE SET]\n\n### Strategic Artifacts\n| Artifact       | Found | Age    | Quality |\n|----------------|-------|--------|---------|\n| Roadmap        | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| OKRs           | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Competitive    | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Vision doc     | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n| Bets           | [✓\u002F✗] | [date] | [solid\u002Fstale\u002Fabsent] |\n\n### Key Strategic Bets Currently Active\n[List top 2-3 bets from existing docs, or NONE DOCUMENTED]\n\n### Consistency Issues\n- [RED] [critical gap or contradiction]\n- [YELLOW] [minor inconsistency]\n\n### Recommended Focus\n[What to work on first given the strategic gaps]\n```\n\n## Delivery\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":57,"author":58,"license":15,"version":59,"description":7,"allowed-tools":60,"compatibility":61},[48,30,29],"tonone-ai \u003Chello@tonone.ai>","0.6.4","Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","bundle\u002Fproduct-team\u002Fskills\u002Fcrest-recon",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":73,"prompt":83,"zipAvailable":84},[74,77,80],{"tool":75,"command":76},"npx","npx skills add tonone-ai\u002Ftonone --skill crest-recon",{"tool":78,"command":79},"bunx","bunx skills add tonone-ai\u002Ftonone --skill crest-recon",{"tool":81,"command":82},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill crest-recon","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fcrest-recon\u002FSKILL.md",true,[],[87,95,102,107,112,119],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":94},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":94},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":103,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":94},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":108,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":94},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":94},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":94},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]